Whitepaper: OVERCOMING THE LIMITS OF LEGACY DETECTION TOOLS IN TODAY’S THREAT LANDSCAPE WITH ADVANCED AI

Joe Ariganello VP of Product Marketing

Joe is the VP of Product Marketing at MixMode. He has led product marketing for multiple cybersecurity companies, with stops at Anomali, FireEye, Neustar and Nextel, as well as various start-ups. Originally from NY, Joe resides outside Washington DC and has a BA from Iona University.

The history of cybersecurity is a tale of constant evolution, marked by the rise and fall of various defense mechanisms in the face of ever-changing threats. Security tools such as antivirus software and firewalls have long been the stalwarts of cyber defense, forming the bedrock of protection for organizations worldwide. While effective in their time, these tools have struggled to keep pace with the rapidly evolving threat landscape.

The growing complexity and sophistication of cyber threats led to the emergence of modern detection and response solutions, such as Endpoint Detection and Response (EDR), Network Detection and Response (NDR), User and Entity Behavior Analytics (UEBA), and the more integrated Extended Detection and Response (XDR) platforms. These solutions were designed to provide a more comprehensive and proactive approach to threat detection, aiming to address the shortcomings of their predecessors.

The proliferation of novel attack vectors, the rampant spread of ransomware, zero days, and the emergence of AI-generated attacks characterize today’s threat landscape. Automation and adversarial machine learning have compounded the challenges defenders face as threat actors leverage these technologies to orchestrate increasingly sophisticated and evasive attacks.

While once effective, legacy security tools have struggled to adapt to these new attack techniques. Their static and rule-based nature makes them ill-equipped to defend against the dynamic and polymorphic nature of modern threats. As a result, organizations find themselves vulnerable to attacks that bypass traditional security measures, leading to data breaches, financial losses, and reputational damage.

In our newest whitepaper, “Overcoming the Limits of Legacy Detection Tools in Today’s Threat Landscape with Advanced AI,” we dive into the limitations of legacy detection tools in defending against novel attacks, including ransomware, zero-day and AI-generated threats, and the changing threat landscape. We will explore how MixMode’s innovative approach can effectively address these challenges and provide organizations with the robust defense mechanisms needed to combat modern cyber threats.

Download The Whitepaper

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